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MisterManuscript t1_isobcjb wrote

This isn't unique to your case. A lot of applications of machine learning in healthcare suffer from one drawback: a lot of patient data is sensitive and is very hard to get your hands on. You don't just query them to your liking; there is a lot of bureaucracy in place before you get your hands on even a small sample of required data.

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Overall-Importance54 OP t1_isoj25q wrote

Thank you for your comment! For breast tissue data sets that are publicly available, just seems like the data and tools good enough off-the-shelf to be useful immediately. I agree that bureaucracy is a headwind. Did you see Google made a model that generates movies from text?

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MisterManuscript t1_isosuxa wrote

That's a different use case. I work in healthcare (computer vision solutions) and I have yet to see a use-case for text-to-video generation.

So far most of the use-cases are either: classification or segmentation, mostly for diagnosing diseases. There's also biomedical informatics, but I'm not familiar enough with medical tabular data to comment on it.

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